chore: fix simple typos

js/core/src/schema.ts

@@ -63,7 +63,7 @@ export class ValidationError extends GenkitError {
 }
 
 /**
- * Convertes a Zod schema into a JSON schema, utilizing an in-memory cache for known objects.
+ * Converts a Zod schema into a JSON schema, utilizing an in-memory cache for known objects.
  * @param options Provide a json schema and/or zod schema. JSON schema has priority.
  * @returns A JSON schema.
  */
@@ -123,7 +123,7 @@ export function validateSchema(
 }
 
 /**
- * Parses raw data object agaisnt the provided schema.
+ * Parses raw data object against the provided schema.
  */
 export function parseSchema<T = unknown>(
   data: unknown,

js/genkit/src/client/client.ts

@@ -117,7 +117,7 @@ async function __flowRunEnvelope({
     if (decodedValue) {
       buffer += decodedValue;
     }
-    // If buffer includes the delimiter that means we are still recieving chunks.
+    // If buffer includes the delimiter that means we are still receiving chunks.
     while (buffer.includes(__flowStreamDelimiter)) {
       const chunk = JSON.parse(
         buffer
@@ -133,7 +133,7 @@ async function __flowRunEnvelope({
           `${chunk.error.status}: ${chunk.error.message}\n${chunk.error.details}`
         );
       } else {
-        throw new Error('unkown chunk format: ' + JSON.stringify(chunk));
+        throw new Error('unknown chunk format: ' + JSON.stringify(chunk));
       }
       buffer = buffer.substring(
         buffer.indexOf(__flowStreamDelimiter) + __flowStreamDelimiter.length

js/genkit/src/client/index.ts

@@ -17,7 +17,7 @@
  */
 
 /**
- * A simple, browser-safe client library for remotely runnning/streaming deployed Genkit flows.
+ * A simple, browser-safe client library for remotely running/streaming deployed Genkit flows.
  *
  * ```ts
  * import { runFlow, streamFlow } from 'genkit/beta/client';

js/genkit/src/genkit-beta.ts

@@ -86,7 +86,7 @@ export class GenkitBeta extends Genkit {
   chat<I>(options?: ChatOptions<I>): Chat;
 
   /**
-   * Create a chat session with the provided preabmle.
+   * Create a chat session with the provided preamble.
    *
    * ```ts
    * const triageAgent = ai.definePrompt({
@@ -272,7 +272,7 @@ export class GenkitBeta extends Genkit {
   }
 
   /**
-   * Defines a resource. Resources can then be accessed from a genreate call.
+   * Defines a resource. Resources can then be accessed from a generate call.
    *
    * ```ts
    * ai.defineResource({

js/genkit/src/genkit.ts

@@ -547,14 +547,14 @@ export class Genkit implements HasRegistry {
   }
 
   /**
-   * create a handlebards helper (https://handlebarsjs.com/guide/block-helpers.html) to be used in dotpormpt templates.
+   * create a handlebars helper (https://handlebarsjs.com/guide/block-helpers.html) to be used in dotprompt templates.
    */
   defineHelper(name: string, fn: Handlebars.HelperDelegate): void {
     defineHelper(this.registry, name, fn);
   }
 
   /**
-   * Creates a handlebars partial (https://handlebarsjs.com/guide/partials.html) to be used in dotpormpt templates.
+   * Creates a handlebars partial (https://handlebarsjs.com/guide/partials.html) to be used in dotprompt templates.
    */
   definePartial(name: string, source: string): void {
     definePartial(this.registry, name, source);
@@ -1017,7 +1017,7 @@ function registerActionV2(
   } else {
     throw new GenkitError({
       status: 'INVALID_ARGUMENT',
-      message: 'Unkown action type returned from plugin ' + plugin.name,
+      message: 'Unknown action type returned from plugin ' + plugin.name,
     });
   }
 }

js/genkit/tests/prompts_test.ts

@@ -99,7 +99,7 @@ describe('definePrompt', () => {
     const lookedUpPrompt = ai.prompt('hi');
     // This is a known limitation -- prompt lookup is async under the hood,
     // so we can't actually get the metadata...
-    assert.deepStrictEqual(lookedUpPrompt.ref, { name: 'hi' }); // ideally metadatashould be: { foo: 'bar' }
+    assert.deepStrictEqual(lookedUpPrompt.ref, { name: 'hi' }); // ideally metadata should be: { foo: 'bar' }
   });
 
   it('should apply middleware to a prompt call', async () => {
@@ -692,7 +692,7 @@ describe('definePrompt', () => {
       defineEchoModel(ai);
     });
 
-    it('renderes dotprompt messages', async () => {
+    it('renders dotprompt messages', async () => {
       const hi = ai.definePrompt({
         name: 'hi',
         input: {

js/genkit/tests/session_test.ts

@@ -370,8 +370,8 @@ describe('session', () => {
 
     const session = ai.createSession();
     const chat = session.chat(agent);
-    const respose = await chat.send('hi');
-    assert.deepStrictEqual(respose.messages, [
+    const response = await chat.send('hi');
+    assert.deepStrictEqual(response.messages, [
       {
         role: 'system',
         content: [{ text: 'hello from template' }],
@@ -405,8 +405,8 @@ describe('session', () => {
         name: 'Genkit',
       },
     });
-    const respose = await chat.send('hi');
-    assert.deepStrictEqual(respose.messages, [
+    const response = await chat.send('hi');
+    assert.deepStrictEqual(response.messages, [
       {
         role: 'system',
         content: [{ text: 'hello Genkit from template' }],
@@ -481,8 +481,8 @@ describe('session', () => {
       },
     });
     const chat = session.chat(agent);
-    const respose = await chat.send('hi');
-    assert.deepStrictEqual(respose.messages, [
+    const response = await chat.send('hi');
+    assert.deepStrictEqual(response.messages, [
       {
         role: 'system',
         content: [{ text: 'foo=bar' }],

js/plugins/compat-oai/src/model.ts

@@ -244,7 +244,7 @@ export function fromOpenAIToolCall(
   }
   const f = toolCall.function;
 
-  // Only parse arugments when it is a JSON object and the finish reason is tool_calls to avoid parsing errors
+  // Only parse arguments when it is a JSON object and the finish reason is tool_calls to avoid parsing errors
   if (choice.finish_reason === 'tool_calls') {
     return {
       toolRequest: {

js/plugins/compat-oai/tests/compat_oai_test.ts

@@ -1317,7 +1317,7 @@ describe('openAIModelRunner', () => {
           completions: {
             stream: jest.fn(
               () =>
-                // Simluate OpenAI SDK request streaming
+                // Simulate OpenAI SDK request streaming
                 new (class {
                   isFirstRequest = true;
                   [Symbol.asyncIterator]() {

js/plugins/google-genai/src/vertexai/types.ts

@@ -361,7 +361,7 @@ export declare interface LyriaPredictResponse {
 
 export declare interface LyriaPrediction {
   bytesBase64Encoded: string; // Base64 encoded Wav string
-  mimeType: string; // autio/wav
+  mimeType: string; // audio/wav
 }
 
 export declare interface LyriaInstance {

js/testapps/flow-simple-ai/src/index.ts

@@ -846,7 +846,7 @@ ai.defineFlow('testArray', async (input, { sendChunk }) => {
 
 ai.defineFlow('formatEnum', async (input, { sendChunk }) => {
   const { output } = await ai.generate({
-    prompt: `classify the denger level of sky diving`,
+    prompt: `classify the danger level of sky diving`,
     output: {
       format: 'enum',
       schema: z.enum(['safe', 'dangerous', 'medium']),
@@ -858,7 +858,7 @@ ai.defineFlow('formatEnum', async (input, { sendChunk }) => {
 
 ai.defineFlow('formatJsonl', async (input, { sendChunk }) => {
   const { output } = await ai.generate({
-    prompt: `generate 5 randon persons`,
+    prompt: `generate 5 random persons`,
     output: {
       format: 'jsonl',
       schema: z.array(

py/packages/genkit/src/genkit/blocks/generate.py

@@ -59,7 +59,7 @@
 def define_generate_action(registry: Registry):
     """Registers generate action in the provided registry."""
 
-    async def genereate_action_fn(input: GenerateActionOptions, ctx: ActionRunContext) -> GenerateResponse:
+    async def generate_action_fn(input: GenerateActionOptions, ctx: ActionRunContext) -> GenerateResponse:
         return await generate_action(
             registry=registry,
             raw_request=input,
@@ -70,7 +70,7 @@ async def genereate_action_fn(input: GenerateActionOptions, ctx: ActionRunContex
     registry.register_action(
         kind=ActionKind.UTIL,
         name='generate',
-        fn=genereate_action_fn,
+        fn=generate_action_fn,
     )
 
 
@@ -717,7 +717,7 @@ async def _resolve_resume_options(
     if len(tool_responses) != len(tool_requests):
         raise GenkitError(
             status='FAILED_PRECONDITION',
-            message=f'Ecxpected {len(tool_requests)} responses, but resolved to {len(tool_responses)}',
+            message=f'Expected {len(tool_requests)} responses, but resolved to {len(tool_responses)}',
         )
 
     tool_message = Message(

samples/js-schoolAgent/src/tools.ts

@@ -97,7 +97,7 @@ export const reportTardy = ai.defineTool(
         ),
       excused: z
         .boolean()
-        .describe('whether the absense is excused by the parent'),
+        .describe('whether the absence is excused by the parent'),
     }),
   },
   async (input) => {